Description: 块状OFDMA仿真，同样是在多径信道下，对初学者帮助不言而喻-massive OFDMA simulation, in the same multi-path channel, for beginners to help self-evident Platform: |
Size: 2048 |
Author:宿星辉 |
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Description: 这是Space-Time Codes and MIMO Systems一书的同步配套仿真代码-This is the Space-Time Codes and MIMO Systems book synchronization matching simulation code Platform: |
Size: 257024 |
Author:刘圣 |
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Description: 这是一个MIMO系统的Space-Time Codes and MIMO Systems 的matlab仿真程序，全书所有章节的仿真程序，都有详细的程序。-This is a MIMO system, Space-Time Codes and MIMO Systems of matlab simulation program, all the chapters of the book simulation program, there are detailed procedures. Platform: |
Size: 274432 |
Author:安大 |
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Description: OFDMA上行链路频偏干扰消除的所有算法总结
都是很经典的算法-OFDMA uplink frequency offset interference cancellation of all algorithms is very classic algorithm summary Platform: |
Size: 1492992 |
Author:LILI |
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Description: OFDMa 很好的系统中的各种资源分配算法仿真
-OFDMa good system in a variety of resource allocation algorithm for simulation of Platform: |
Size: 10240 |
Author:zcf |
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Description: 很好OFDMA的matlab仿真程序，程序简明的对系统进行了仿真，OFDMA入门级资料-OFDMA of matlab simulation program well, the program simple system simulation, OFDMA entry-level data Platform: |
Size: 5120 |
Author:刘硕 |
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Description: 关于软频率复用的matlab仿真，最后仿真出功率的分配-On the soft frequency reuse of matlab simulation, the final simulation the distribution of power Platform: |
Size: 1024 |
Author:yingtuzhang |
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Description: OFDMA仿真代码,可以直接运行，包含很多M文件，可以分块使用，非常有用。-OFDMA simulation code can run, including a lot of M file, you can block use, very useful. Platform: |
Size: 13312 |
Author:jeson |
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Description: ofdma下行自适应资源分配算法仿真方面的几种算法对比。有图。直接点main文件即可运行-ofdma downstream aspects of adaptive resource allocation algorithm for simulation comparison of several algorithms. A map. Main file can be run directly point Platform: |
Size: 9216 |
Author:jeson |
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Description: 基于OFDMA系统的多用户资源分配算法，论文配备MATLAB代码，入门的好教材。-— Orthogonal Frequency Division Multiple Access (OFDMA) basestations allow multiple users to transmit simultaneously on different subcarriers during the same symbol period. This paper considers basestation allocation of subcarriers and power to each user to maximize the sum of user data rates, subject to constraints on total power, bit error rate, and proportionality
among user data rates. Previous allocation methods have been iterative nonlinear methods suitable for ofine optimization. In the special high subchannel SNR case, an iterative root-nding method has linear-time complexity in the number of users and
N logN complexity in the number of subchannels. We propose
a non-iterative method that is made possible by our relaxation
of strict user rate proportionality constraints. Compared to the
root-nding method, the proposed method waives the restriction
of high subchannel SNR, has signicantly lower complexity, and
in simulation, yields higher user data rates. Platform: |
Size: 160768 |
Author:王刚名 |
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